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Clinical paper| Volume 138, P222-232, May 2019

Early blood transcriptomic signature predicts patients’ outcome after out-of-hospital cardiac arrest

  • Author Footnotes
    1 Both authors contributed equally to this work.
    Renaud Tissier
    Correspondence
    Corresponding author at: Inserm U955, Institut Mondor de Recherche Biomédicale, Ecole Nationale Vétérinaire d'Alfort, 7 avenue du Général de Gaulle, 94700, Maisons-Alfort, France.
    Footnotes
    1 Both authors contributed equally to this work.
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Université Paris Est, UMR_S955, UPEC, Ecole Nationale Vétérinaire d’Alfort, F-94000, Créteil, France
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  • Author Footnotes
    1 Both authors contributed equally to this work.
    Hakim Hocini
    Footnotes
    1 Both authors contributed equally to this work.
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Vaccine Research Institute, Université Paris Est-Créteil, F-94000, Créteil, France
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  • Nicolas Tchitchek
    Affiliations
    Vaccine Research Institute, Université Paris Est-Créteil, F-94000, Créteil, France

    CEA — Université Paris Sud 11 — INSERM U1184, Immunology of Viral Infections and Autoimmune Diseases, IDMIT Infrastructure, F-92265 Fontenay-aux-Roses, France
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  • Nicolas Deye
    Affiliations
    Medical ICU, Inserm U942, Lariboisiere Hospital, APHP, F-75010, Paris, France
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  • Stéphane Legriel
    Affiliations
    Intensive Care Unit, Versailles Hospital, Le Chesnay, F-78150, France
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  • Nicolas Pichon
    Affiliations
    Intensive Care Unit, University Hospital Dupuytren, Limoges, F-87042, France
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  • Cédric Daubin
    Affiliations
    CHU de Caen, Department of Medical Intensive Care, Caen, F-14000, France
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  • Olivier Hermine
    Affiliations
    Department of Hematology and INSERM U1163 CNRS ERL 8654, Imagine Institute and Necker Hospital, Paris, F-75015, France
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  • Pierre Carli
    Affiliations
    SAMU de Paris, Service d’Anesthésie-Réanimation, Hôpital Universitaire Necker— Enfants Malades, Université Paris Descartes, F-75015, Paris, France
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  • Benoît Vivien
    Affiliations
    SAMU de Paris, Service d’Anesthésie-Réanimation, Hôpital Universitaire Necker— Enfants Malades, Université Paris Descartes, F-75015, Paris, France
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  • Jean-Marc Tréluyer
    Affiliations
    Clinical Research Unit, Paris Centre and Paris Descartes University, Paris, France
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  • Cécile Lefebvre
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Vaccine Research Institute, Université Paris Est-Créteil, F-94000, Créteil, France
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  • Pascaline Tisserand
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Vaccine Research Institute, Université Paris Est-Créteil, F-94000, Créteil, France
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  • Jean-Luc Dubois-Randé
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Université Paris Est, UMR_S955, UPEC, Ecole Nationale Vétérinaire d’Alfort, F-94000, Créteil, France
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  • Alain Berdeaux
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Université Paris Est, UMR_S955, UPEC, Ecole Nationale Vétérinaire d’Alfort, F-94000, Créteil, France
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  • Bijan Ghaleh
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Université Paris Est, UMR_S955, UPEC, Ecole Nationale Vétérinaire d’Alfort, F-94000, Créteil, France

    APHP, Hôpitaux Universitaires Henri Mondor, Plateforme de Ressources Biologiques, F-94000, Créteil, France
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  • Jean-Daniel Lelièvre
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Vaccine Research Institute, Université Paris Est-Créteil, F-94000, Créteil, France
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  • Author Footnotes
    2 Both authors contributed equally to this work.
    Yves Levy
    Correspondence
    Corresponding author at: INSERM U955, Institut Mondor de Recherche Biomédicale, Vaccine Research Institute, CHU Henri Mondor, 51 avenue Mal de Lattre de Tassigny, 94010, Créteil, France.
    Footnotes
    2 Both authors contributed equally to this work.
    Affiliations
    Inserm, U955, F94000, Créteil, France

    Vaccine Research Institute, Université Paris Est-Créteil, F-94000, Créteil, France
    Search for articles by this author
  • Author Footnotes
    2 Both authors contributed equally to this work.
    Alain Cariou
    Footnotes
    2 Both authors contributed equally to this work.
    Affiliations
    Service de Réanimation Médicale, Hôpitaux Universitaires Paris Centre, Hôpital Cochin, Paris, France
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  • Author Footnotes
    1 Both authors contributed equally to this work.
    2 Both authors contributed equally to this work.

      Abstract

      Background

      Early prognostication is a major challenge after out-of-hospital cardiac arrest (OHCA).

      Aims

      We hypothesized that a genome-wide analysis of blood gene expression could offer new prognostic tools and lines of research.

      Methods

      Sixty-nine patients were enrolled from an ancillary study of the clinical trial NCT00999583 that tested the effect of erythropoietin (EPO) after OHCA. Blood samples were collected in comatose survivors of OHCA at hospital admission and 1 and 3 days after resuscitation. Gene expression profiles were analyzed (Illumina HumanHT-12 V4 BeadChip; >34,000 genes). Patients were classified into two categories representing neurological favorable outcome (cerebral performance category [CPC] = 1-2) vs unfavorable outcome (CPC > 2) at Day 60 after OHCA. Differential and functional enrichment analyses were performed to compare transcriptomic profiles between these two categories.

      Results

      Among the 69 enrolled patients, 33 and 36 patients were treated or not by EPO, respectively. Among them, 42% had a favorable neurological outcome in both groups. EPO did not affect the transcriptomic response at Day-0 and 1 after OHCA. In contrast, 76 transcripts differed at Day-0 between patients with unfavorable vs favorable neurological outcome. This signature persisted at Day-1 after OHCA. Functional enrichment analysis revealed a down-regulation of adaptive immunity with concomitant up-regulation of innate immunity and inflammation in patients with unfavorable vs favorable neurological outcome. The transcription of many genes of the HLA family was decreased in patients with unfavorable vs favorable neurological outcome. Concomitantly, neutrophil activation and inflammation were observed. Up-stream regulators analysis showed the implication of numerous factors involved in cell cycle and damages. A logistic regression including a set of genes allowed a reliable prediction of the clinical outcomes (specificity = 88%; Hit Rate = 83%).

      Conclusions

      A transcriptomic signature involving a counterbalance between adaptive and innate immune responses is able to predict neurological outcome very early after hospital admission after OHCA. This deserves confirmation in a larger population.

      Keywords

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